IP cores support for image compression, navigation

LONDON — Imagination Technologies used the Linley Fall Conference in Silicon Valley to announce two new IP cores, one for low power consumption location information and another for visually lossless image compression.

For multimedia applications, the company’s PowerVR PVRIC4 is a new generation of its image compression technology for SoC customers targeting devices such as DTVs, smartphones, and tablets to reduce costs without a discernible loss of image quality. It claims random-access visually lossless image compression, ensuring bandwidth and memory footprint savings of at least 50% and enabling systems to overcome performance bandwidth constraints.

Low power GNSS IP

A growing number of battery-operated products incorporate positioning, navigation, and timing (PNT) services. Consumers want to track their devices but don’t want to recharge batteries frequently. In industrial and agricultural environments, users need to track mobile assets to improve efficiency and reduce operational costs, but it isn’t possible to frequently change batteries across numerous devices in disparate locations. In addition, new regulatory requirements mandate the use of location services in some products, for example, to address spectrum sharing requirements in IoT devices and base stations.

“Our customers are increasingly combining connectivity such as Wi-Fi, Bluetooth, and 802.15.4 with GNSS technology in one chip,” said Martin Woodhead, executive vice president for Ensigma Communications at Imagination.

For this, Woodhead said that the Ensigma GNSS IP provides a power-efficient solution to integrate into customers’ own silicon to save on total solution cost.

Malik Saadi, managing director and vice president for strategic technologies at ABI Research, said that silicon and system vendors designing their own silicon need low-power, high-quality GNSS IP. Until now, they’ve had to either settle for a restricted set of features or use a companion chip to provide comprehensive functionality. He said that ABI Research has consistently maintained that the integration of fully featured GNSS with other wireless technologies has the ability to enhance the overall performance of the chip and lower the overall power consumption without compromising cost.

The Ensigma GNSS IP can share location information with external wireless technologies such as LTE or Wi-Fi and has options to share peripherals such as memory and system clock to enable reduced total system cost. It also features high sensitivity for indoor location, support for assistance information using external sources such as LTE and Wi-Fi to improve time to first fix, and radio frequency interference (RFI) detection and mitigation.

The GNSS IP enables developers to choose a configuration that works best for their specific system implementation, from standalone to highly integrated. The IP can be configured for lowest power or highest integration and is designed to fit into any existing solution.

The IP includes dedicated hardware blocks that enable lower power consumption compared to a software-only solution. In addition, it supports not only continuous fix techniques but power-efficient “capture and process” for devices that require only periodic location updates. This feature further conserves battery life by capturing data, such as fitness information from a wearable device, and storing it for later processing.

Ensigma GNSS IP is designed to be used with a wide range of GNSS receivers; the initial solution is optimized for use with SaberTek’s ultra-low-power GNSS receiver. The broad portfolio of Ensigma wireless communications IP comprises solutions for 30 wireless standards in Wi-Fi, Bluetooth, 802.15.4, audio, and TV broadcast.